The SIMILARITY Procedure
- Overview
- Getting Started
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Syntax
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Details
Accumulation Missing Value Interpretation Zero Value Interpretation Time Series Transformation Time Series Differencing Time Series Missing Value Trimming Time Series Descriptive Statistics Input and Target Sequences Sliding Sequences Time Warping Sequence Normalization Sequence Scaling Similarity Measures User-Defined Functions and Subroutines Output Data Sets OUT= Data Set OUTMEASURE= Data Set OUTPATH= Data Set OUTSEQUENCE= Data Set OUTSUM= Data Set STATUS Variable Values Printed Output ODS Table Names ODS Graphics
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Examples
- References
| OUTSEQUENCE= Data Set |
The OUTSEQUENCE= data set records the input and target sequences that are associated with each INPUT and TARGET statement variable. This data set records the input and target sequence values for each slide index and for each warp index that is associated with the slide index. The sequence values that are recorded are normalized and scaled based on the NORMALIZE= and SCALE= options. This data set also contains the similarity measure associated with the two sequences.
The OUTSEQUENCE= data set contains the variables specified in the BY statement in addition to the following variables:
- _INPUT_
input variable name
- _TARGET_
target variable name
- _TIMEID_
time ID values
- _SLIDE_
slide index
- _WARP_
warp index
- _INPSEQ_
input sequence values
- _TARSEQ_
target sequence values
- _SIM_
similarity measure
- _STATUS_
sequence status
The sorting of the OUTSEQUENCE= data set depends on the SORTNAMES and the ORDER= option.
The OUTSEQUENCE= data set is ordered by the variables _INPUT_, then _TARGET_, then _TIMEID_ when ORDER=INPUTTARGET or ORDER=INPUT. The OUTSEQUENCE= data set is ordered by the variables _TARGET_, then _INPUT_, then _TIMEID_ when ORDER=TARGETINPUT or ORDER=TARGET.
If there are a large number of slides or warps or both, this data set might be large.